Study on Approach to Fuzzy Product Configuration Based on Vague Customer Requirements

2006 ◽  
Vol 532-533 ◽  
pp. 1068-1071 ◽  
Author(s):  
Bin Zhu ◽  
Zhan Wang ◽  
Hai Cheng Yang ◽  
Hong Li

Mass customization (MC) is an emergent concept in industry intended to provide customized products through flexible processes in high volumes and at reasonably low costs. The method of configuration is one of important ways to realize quickly product customization. But, in business, particularly through the Internet, a customer normally develops in his mind some sort of ambiguity, when given the choice of similar alternative products to choose. This paper proposes an approach to product configuration according to uncertain and fuzzy requirements the customer submits to the product supplier. Finally, the digital camera is taken as an example to further verify the validity and the feasibility of the method.

2011 ◽  
Vol 189-193 ◽  
pp. 47-52
Author(s):  
Yan Ting Ni ◽  
Jing Min Li ◽  
Yi Wang ◽  
Jin Yao

In terms of transforming supply chain into integrated value systems, the benefits of Early Supplier Involvement (ESI) in product development have been widely accepted. As far as variety management and online configuration are concerned, the difficulties of ESI in online mass customization manifest themselves through two main aspects: (1) Support the seamless information integration with respect to its high variety and large volume not only among internal functions but also with external suppliers; (2) Support real-time online configuration for product configuration generation and optimization based on customer requirements and supplier capabilities. Accordingly, this work proposes two potential solutions. PFA-based integrated information model is established to synchronize the PFA generic structure and supplier product information.


2011 ◽  
Vol 133 (04) ◽  
pp. 32-35
Author(s):  
David M. Anderson

This article focuses on the missing link in mass customization. Mass customization has not really caught on yet because of a missing link—knowing how to actually design and build mass-customized products. The solution is concurrently engineering product families and flexible processes so any product variation within a family can be built on-demand using common parts that are always available. Accomplishing this requires some new and different strategies: production strategy, supply chain strategy, design strategy, and marketing strategy. The production strategy aims to build any variation in a product family on demand economically, which requires versatile flexible processes without expensive setup charges or delays. Supply chain strategy assures that all parts, modules, and materials must be always nearby and spontaneously resupplied by using some specific techniques. Design strategy concurrently engineers the design of the product families and their flexible processes to build customized products on-demand from common parts and materials. Marketing strategy identifies product families that have a need for mass-customized products and can be economically built on demand.


2016 ◽  
Vol 2016 ◽  
pp. 1-5
Author(s):  
Jelena Micevska ◽  
Tatjana Kandikjan

BACKGROUND: Mass customized products are achievable due to the advancements in the technologies and software engineering. Mass customization has become necessity for the contemporary production companies. At the same time, that means lot of complication in the engineering, production and logistic processes. Altogether, the complete process of customization costs time and money, which implies additional charges to the customized product.BACKGROUND: Mass customized products are achievable due to the advancements in the technologies and software engineering. Mass customization has become necessity for the contemporary production companies. At the same time, that means lot of complication in the engineering, production and logistic processes. Altogether, the complete process of customization costs time and money, which implies additional charges to the customized product.AIM: The aim of this research is gathering knowledge in the field of additive technologies and parametric modeling.MATERIAL AND METHODS: The gathered knowledge is used in order to help non-designers and designers, both with no knowledge in computer-aided design (CAD) systems and additive technologies. The main idea behind the product configuration model (PCM), proposed in this paper is to enable user-friendly interface, easy to use for novice CAD users. In that manner user can design its own product as a CAD model.RESULTS: With the technologies like additive technologies, new possibilities emerge. These technologies completely change the process of designing and producing a new product. The size of the series and complexity of the geometry is no obstacle and more important does not apply additional charges. That means that one can order unique product to be produced especially for him/her and have it delivered in short period. With the decrease price of machines for additive technologies, mainly fused deposition modeling (FDM) machines, the number of home-owned machines has increased. Therefore, the users can produce at home anything that they designed or bought as CAD model online.CONCLUSION: Having in mind that most of them are not familiar with CAD modeling, in this paper, we are proposing product configuration model for creating personalized parts.


2021 ◽  
Author(s):  
Camilla Wehlin ◽  
Olle Vidner ◽  
Leon Poot ◽  
Mehdi Tarkian

Abstract Companies manufacturing customized engineer-to-order (ETO) products are decelerated by repetitive work, misinterpretations and uncoordinated processes which prohibits the achievement of mass customization. Being able to deliver customized product with low costs and fast delivery times, the concept of mass customization, is a prerequisite for maintained competitiveness with the demands from the market today. This paper presents a product configuration system (PCS) for customized products using design automation enabled by knowledge-based engineering (KBE) and enterprise-wide optimization (EWO). With this approach, the process from sales to delivery of customized products can be extensively rationalized. The PCS consists of two modules. The first being a configurator for use in the sales quotation stage. Here, customer requirements are captured, and used to generate alternatives feasible for the customer context. Thereby, correct quotations can be generated at the sales instance. The second module is the enterprise-wide configurator where accepted orders are concurrently optimized for their detailed and final design, considering the current state of the production and concurrent sales cases in the company. In other terms, instead of adapting the supply chain according to the design of the products in the order entry, the design of the products in the order entry are adapted according to the state of the supply chain. Thereby, resources can be efficiently utilized to the benefit of both the customer and the company, with reduced costs and delivery times. An implementation of the PCS in a case concerning spiral staircases, an ETO product, has shown potential of substantially reducing resources and errors and enable a reliable process supporting achievement of mass customization.


2020 ◽  
Vol 2020 ◽  
pp. 1-19 ◽  
Author(s):  
César Martínez-Olvera

It has been stated that Industry 4.0’s goal is, among others, the sustainable success in a market characterized by exigent and informed consumers demanding personalized products and services, where the level of manufacturing complexity increases with level of product customization. Even though different manufacturing complexity measures have been developed, there seems to be a lack of a comprehensive metric that address both the mass customization variety-induced complexity, and the complexity derived from the adoption of the Industry 4.0 paradigm. The main original contribution of this paper is the development of an entropy-based (entropic) formulation to address this last issue. Its validity and usefulness is put to the test via a discrete-event simulation study of a mass customization production system operating within an Industry 4.0 context. Our findings show that the entropic formulation acts as a fairly good trend indicator of the system’s performance parameter increase/decrease, but not as an estimator of the final values. A discussion of the managerial implications of the obtained results is offered at the end of the paper.


Author(s):  
Jida Huang ◽  
Tsz-Ho Kwok ◽  
Chi Zhou

With the advances in hardware and process development, additive manufacturing is realizing a new paradigm: mass customization. There are massive human-related data in mass customization, but there are also many similarities in mass-customized products. Therefore, reusing information can facilitate mass customization and create unprecedented opportunities in advancing the theory, method, and practice of design for mass-customized products. To enable information reuse, different models have to be aligned so that their similarity can be identified. This alignment is commonly known as the global registration that finds an optimal rigid transformation to align two three-dimensional shapes (scene and model) without any assumptions on their initial positions. The Super 4-Points Congruent Sets (S4PCS) is a popular algorithm used for this shape registration. While S4PCS performs the registration using a set of 4 coplanar points, we find that incorporating the volumetric information of the models can improve the robustness and the efficiency of the algorithm, which are particularly important for mass customization. In this paper, we propose a novel algorithm, Volumetric 4PCS (V4PCS), to extend the 4 coplanar points to non-coplanar ones for global registration, and theoretically demonstrate the computational complexity is significantly reduced. Several typical human-centered applications such as tooth aligner and hearing aid are investigated and compared with S4PCS. The experimental results show that the proposed V4PCS can achieve a maximum of 20 times speedup and can successfully compute the valid transformation with very limited number of sample points.


2012 ◽  
Vol 10 (1) ◽  
Author(s):  
Oksana Loginova

Abstract The existing theoretical literature on mass customization maintains that customization reduces product differentiation and intensifies price competition. In contrast, operations management studies argue that customization serves primarily to differentiate a company from its competitors. Interactive involvement of the customer in product design creates an affective relationship with the firm, relaxing price competition. This paper provides a model that incorporates consumer involvement to explain the phenomena described in the operations management literature.Two firms on the Hotelling line compete for a continuum of consumers with heterogeneous brand preferences. An exogenously given fraction of consumers is potentially interested in customization. Consumer benefits from customization are the rewards from a special shopping experience and the value of product customization (a better fitting product); these benefits are higher for consumers located closer to the customizing brand. When a consumer purchases a customized product, he/she incurs waiting costs. Each firm simultaneously decides whether to offer standard products, customized products, or both, and then engage in price competition. I show that customization increases product differentiation, leading to less intense price competition. Depending on the parameter values, in equilibrium either both firms offer customized products, one firm offers customized products and the other standard and customized products, or one firm offers customized products and the other standard products. I perform comparative statics analysis with respect to the fraction of consumers interested in customization, the waiting costs, and the fixed cost of customization.


Sign in / Sign up

Export Citation Format

Share Document